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Localisation of mobile nodes in wireless networks with correlated in time measurement noise.

Research output: Contribution to journalJournal article

Published

Journal publication date01/2011
JournalIEEE Transactions on Mobile Computing
Journal number1
Volume10
Number of pages10
Pages44-53
Original languageEnglish

Abstract

Wireless sensor networks are an inherent part of decision making, object tracking and location awareness systems. This work is focused on simultaneous localisation of mobile nodes based on received signal strength indicators (RSSIs) with correlated in time measurement noises. Two approaches to deal with the correlated measurement noises are proposed in the framework of auxiliary particle filtering: with a noise augmented state vector and the second approach implements noise decorrelation. The performance of the two proposed multi model auxiliary particle filters (MM AUX-PFs) is validated over simulated and real RSSIs and high localisation accuracy is demonstrated.